Events for March 7, 2026

This presentation outlines the rising global burden of cancer and the increasing strain on pathology services due to manual workflows and a worldwide shortage of expert pathologists. It introduces Digital Pathology as a transformative solution that uses whole-slide imaging, telepathology, and integrated digital workflows to improve diagnostic efficiency, accuracy, and accessibility. The presentation highlights the capabilities of modern scanners, the advantages of digitized slides, and the resulting improvements in collaboration, automation, and data management. It further describes how Artificial Intelligence (AI) enhances cancer diagnosis through automated tumor detection, grading, cell counting, and predictive modeling for precision medicine. The presentation also reviews industry investment trends and explores future opportunities created by combining digital slides with clinical, genomic, and treatment data for research, clinical trials, and data-driven insights. Finally, it identifies significant opportunities to build AI-driven diagnostics, drug discovery, and advance cancer research Speaker(s): Mr. Singhal Virtual: https://events.vtools.ieee.org/m/543670

[] Join us for the administrative online meeting of the Aerospace and Electronic Systems Society (AESS) & Communications Society (ComSoc) Chapter 3 in the Southeastern Michigan Section! This meeting will focus on planning events for 2026, and we invite all local AESS and ComSec members to participate and share their input. We aim to record the meeting, so if you are unable to attend, you can catch up later. Your ideas and contributions are essential in shaping an exciting year ahead—don’t miss out! Co-sponsored by: [email protected] Agenda: 07:30 PM - Meeting opens 07:35 PM - Introductions 07:40 PM - Topics and Speakers for 2026 07:55 PM - Other potential areas/ideas/exploratory thoughts 08:00 PM - Wrap up and share notes ALL times are local EDT/EST! Virtual: https://events.vtools.ieee.org/m/544173

[] Join us for the administrative online meeting of the Robotics & Automation Society (RAS) Chapter 14 in the Southeastern Michigan Section! This meeting will focus on planning events for 2026, and we invite all local RAS members to participate and share their input. We aim to record the meeting, so if you are unable to attend, you can catch up later. Your ideas and contributions are essential in shaping an exciting year ahead—don’t miss out! Co-sponsored by: [email protected] Agenda: 06:30 PM - Meeting opens 06:35 PM - Introductions 06:40 PM - Topics and Speakers for 2026 06:55 PM - Other potential areas/ideas/exploratory thoughts 07:00 PM - Wrap up and share notes ALL times are local EDT/EST! Virtual: https://events.vtools.ieee.org/m/544159

As Artificial Intelligence systems rapidly transition from passive predictive tools to fully autonomous decision-making agents, ensuring transparency, trust, and accountability has become a critical priority. This event focuses on Explainability-Driven Autonomous AI Agents—intelligent systems capable of operating independently across multiple domains while providing interpretable and trustworthy decision insights. Organized under the broader vision of the Institute of Electrical and Electronics Engineers, this session brings together researchers, industry leaders, and practitioners working at the intersection of autonomous systems, explainable AI (XAI), edge intelligence, and safety-critical applications. The event will explore: - Foundations of explainability in autonomous AI agents - Architectures for multi-domain intelligent systems - Trust, robustness, and verification in AI-driven autonomy - Human-AI collaboration and interpretable decision pipelines - Applications across healthcare, smart infrastructure, defense, consumer electronics, and distributed intelligence - Ethical, regulatory, and societal implications of autonomous AI Special emphasis will be placed on circuit- and system-level innovations that enable deployable, real-time, and resource-efficient explainable AI frameworks. Through invited talks, panel discussions, and technical presentations, participants will gain insights into emerging methodologies that bridge algorithmic intelligence with hardware-aware design and system reliability. This event aims to foster interdisciplinary collaboration within the IEEE community, encouraging the development of next-generation autonomous AI agents that are not only intelligent—but also transparent, accountable, and societally aligned. Speaker(s): Reshma, Virtual: https://events.vtools.ieee.org/m/543717